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Recognizing behavioral factors while driving: A multimodal corpus to monitor the driver's affective state

Lotz, Alicia and Ihme, Klas and Charnoz, Audrey and Maroudis, Pantelis and Ivan, Dimitriev and Wendemuth, Andreas (2018) Recognizing behavioral factors while driving: A multimodal corpus to monitor the driver's affective state. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA). Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 7-12 May 2018, Miyazaki, Japan. ISBN 979-10-95546-00-9

Full text not available from this repository.

Official URL: http://www.lrec-conf.org/proceedings/lrec2018/pdf/513.pdf

Abstract

The presented study concentrates on the collection of emotional multimodal real-world in-car audio, video and physiological signal recordings while driving. To do so, three sensor systems were integrated in the car and four emotional relevant states of the driver were defined: neutral, positive, frustration and anxiety. To gather as natural as possible emotional data of the driver, the subjects needed to be unbiased and were therefore kept unaware of the detailed research objective. The emotions were induced using so-called Wizard-of-Oz experiments, where the drivers believed to be interacting with an automated technical system, which in fact was controlled by a human. Additionally, on board interviews while driving were conducted by an instructed psychologist. To evaluate the collected data, questionnaires were filled out by the subjects before, during and after the data collection. These include monitoring of the drivers perceived state of emotion, stress, sleepiness and thermal sensation but also detailed questionnaires on their driving experience, attitude towards technology and big five OCEAN personality traits. Afterwards, the data was annotated by expert labelers. The statistical analyses of these results will be presented in the full paper.

Item URL in elib:https://elib.dlr.de/114426/
Document Type:Conference or Workshop Item (Speech)
Title:Recognizing behavioral factors while driving: A multimodal corpus to monitor the driver's affective state
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lotz, AliciaOtto-von-Guericke-Universität MagdeburgUNSPECIFIED
Ihme, KlasKlas.Ihme (at) dlr.dehttps://orcid.org/0000-0002-7911-3512
Charnoz, AudreyEcole Polytechnique Federal LausanneUNSPECIFIED
Maroudis, PantelisVALEOUNSPECIFIED
Ivan, DimitrievVEDECOMUNSPECIFIED
Wendemuth, AndreasOtto-von-Guericke-Universität MagdeburgUNSPECIFIED
Date:12 May 2018
Journal or Publication Title:Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:European Language Resources Association (ELRA)
ISBN:979-10-95546-00-9
Status:Published
Keywords:Emotion classification; Speech; User State
Event Title:Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Event Location:Miyazaki, Japan
Event Type:international Conference
Event Dates:7-12 May 2018
Organizer:European Language Resource Association
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Fahrzeugintelligenz (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Human Factors
Deposited By: Ihme, Klas
Deposited On:13 Jun 2018 09:48
Last Modified:13 Jun 2018 09:48

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